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首页> 外文期刊>International Journal of Image, Graphics and Signal Processing >Spectral and Time Based Assessment of Meditative Heart Rate Signals
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Spectral and Time Based Assessment of Meditative Heart Rate Signals

机译:基于频谱和时间的冥想性心律信号评估

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The objective of this article was to study the effects of Chi meditation on heart rate variability (HRV). For this purpose, the statistical and spectral measures of HRV from the RR intervals were analyzed. In addition, it is concerned with finding adequate Auto-Regressive Moving Average (ARMA) model orders for spectral analysis of the time series formed from RR intervals. Therefore, Akaike's Final Prediction Error (FPE) was taken as the base for choosing the model order. The results showed that overall the model order chosen most frequently for FPE was p = 8 for before meditation and p = 5 for during meditation. The results suggested that variety of orders in HRV models upon different psychological states could be due to some differences in intrinsic properties of the system.
机译:本文的目的是研究冥想对心率变异性(HRV)的影响。为此,分析了来自RR间隔的HRV的统计和频谱测量。此外,它还关注为由RR间隔形成的时间序列进行频谱分析找到足够的自回归移动平均值(ARMA)模型阶数。因此,以赤池的最终预测误差(FPE)作为选择模型顺序的基础。结果表明,总体上最常为FPE选择的模型顺序为:冥想前为p = 8,冥想中为p = 5。结果表明,HRV模型在不同心理状态下的阶数变化可能是由于系统内在特性的某些差异所致。

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